Artificial intelligence in medicine : applications, limitations and future directions / Manda Raz, Tam C. Nguyen, Erwin Loh, editors.
Raz, Manda.; Nguyen, Tam C.; Loh, Erwin.
2022
R859.7.A78
Available Online

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Title Artificial intelligence in medicine : applications, limitations and future directions / Manda Raz, Tam C. Nguyen, Erwin Loh, editors.
ISBN 9789811912238 (electronic bk.)
9811912238 (electronic bk.)
981191222X
9789811912221
DOI https://doi.org/10.1007/978-981-19-1223-8
Publication Details Singapore : Springer, 2022.
Language English
Description 1 online resource (255 pages)
Item Number 10.1007/978-981-19-1223-8 doi
Call Number R859.7.A78
Dewey Decimal Classification 610.2856/3
Summary This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 29, 2022).
Added Author Raz, Manda.
Nguyen, Tam C.
Loh, Erwin.
Available in Other Form Artificial Intelligence in Medicine.
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Record Appears in Online Resources > Ebooks
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Preface
Chapter 1 Untangling the concept of Artificial Intelligence, Machine Learning, and Deep Learning
Chapter 2 Overview of Artificial Intelligence in Medicine
Chapter 3 Machine learning, deep learning and neural networks
Chapter 4 Machine Learning in Medical Imaging Clinical Applications and Challenges in Computer Vision
Chapter 5 Artificial Intelligence in Medicine: Applications, Limitations and Future Directions
Chapter 6 Current Applications of Machine Learning in Medicine: ART
Chapter 7 Artificial Intelligence in Ophthalmology
Chapter 8 Machine learning in laparoscopic surgery
Section 3 Limitations & Ethics
Chapter 9 Limitations
Chapter 10 Privacy and Data Security Issues
Chapter 11 Explainable AI.

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